General Mills (GIS) Return on Capital Employed [ROCE] (2009 - 2026)
General Mills' Return on Capital Employed [ROCE] was -0.89% in fiscal Q1 2027 (quarter ended Aug 30, 2026), down 17.63 percentage points from 16.74% a year earlier and down 4.51 percentage points from the prior quarter.
General Mills (GIS) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Return on Capital Employed [ROCE] at General Mills came in at 3.58%, down 9.96 percentage points from FY2025.
- Return on Capital Employed [ROCE] has now declined for four consecutive fiscal years, with a five-year change of -10.06 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Capital Employed [ROCE] was 13.54% in FY2025 (-0.51 pp), 14.05% in FY2024 (-0.42 pp), 14.47% in FY2023 (-0.36 pp) and 14.82% in FY2022 (+1.19 pp).
- The fiscal Q1 2027 figure marks the lowest quarterly Return on Capital Employed [ROCE] in data going back to fiscal Q1 2010.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in four of the last eight quarters, with an average year-over-year change of -2.97 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was fiscal Q2 2023 (a gain of 4.62 percentage points); the worst was fiscal Q1 2027 (a drop of 17.63 percentage points).
- Per Business Quant data, GIS's Return on Capital Employed [ROCE] in the three fiscal quarters before Q1 2027 was 3.63% (Q4 2026), 14.64% (Q3 2026) and 15.35% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 8.97% |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 20.49% |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | -4.62% |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | -0.89% |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 5.93% |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 8.50% |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 5.01% |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 24.87% |
| 10 | Conagra Brands | 6.38 Bn | 5.69 Bn | 618.70 Mn | -11.84% |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | -0.89% |
| May 31, 2026 | 3.63% |
| Feb 22, 2026 | 14.64% |
| Nov 23, 2025 | 15.35% |
| Aug 24, 2025 | 16.74% |
| May 25, 2025 | 13.20% |
| Feb 23, 2025 | 14.22% |
| Nov 24, 2024 | 14.66% |
| Aug 25, 2024 | 13.70% |
| May 26, 2024 | 14.22% |
| Feb 25, 2024 | 14.47% |
| Nov 26, 2023 | 14.08% |
| Aug 27, 2023 | 13.48% |
| May 28, 2023 | 14.43% |
| Feb 26, 2023 | 16.63% |
| Nov 27, 2022 | 16.89% |
| Aug 28, 2022 | 16.52% |
| May 29, 2022 | 15.05% |
| Feb 27, 2022 | 12.04% |
| Nov 28, 2021 | 12.28% |
General Mills Return on Capital Employed [ROCE] API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=return-on-capital-employed-%5Broce%5D&ticker=GIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "GIS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-capital-employed-%5Broce%5D&ticker=GIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();